As a Advanced Analytics Scientist in the Advanced Analytic Services Team, you will be required to have the following background education and experience and the ability to fulfill the following essential responsibilities. We also list preferred qualifications that are not required, but would be beneficial.
Develop novel solutions to market-driven problems using knowledge of the latest NLP techniques and ML techniques, rigorous statistical analysis, and practical experience on previous data science projects.
Serve as a Subject Matter Expert on Natural Language Processing and Graph Analytics within the Sales and Marketing and Supply Chain Mgmt./Compliance Analytics team and with business users; consult with the business, as appropriate, on modeling solutions.
Enjoy and share academic literature, technical developments, and industry best practices. Identify business relevance of new methods and work with cross functional teams to create prototypes, assist in creating business cases, and provide input into go to market strategy.
Collaborate with internal and external stakeholders (external customers, other D&B data scientists, sales team members, business unit product leaders and development teams) to understand business needs and technical requirements through direct, external consultative customer engagements as well as proof-of-concept implementations for products
Participate and support other teams as needed for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting
Research complex business issues and recommend solutions, including customer data input requirements, other required data sets, modeling approaches, and end products
or Masters in a quantitative / applied field (Engineering, Computer Science, Operations Research, Mathematics, Statistics, Econometrics). Strong academic profile.
3+ years operating successfully in data science roles, 2+ years experience applying NLP models and graph models
Strong programming skills and modeling experience using Python
Experience applying modern machine learning techniques
Strong SQL skills and experience working with large (big) datasets
Ability to advise team on innovative methodology, data science tools, and environments
Strong collaboration skills, including the ability to build and maintain relationships with internal and external stakeholders/clients
Experience in roles requiring cross-company collaboration and disciplined delivery of initiatives
Knowledge of evolving data science concepts and best practices for NLP and unstructured data analysis
Ability to effectively communicate complex ideas to both a technical and non-technical audience
Creative and inquisitive in nature, flexibility to master and apply new analytic tools.
Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law.
We are committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities.
Associated topics: capital, commercial, credit, economy asset, market, financial, financial analyst, pricing, valuation, wholesale
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.